How to Use the Ayuntamiento de Barcelona (CKAN) MCP in CrewAI
Deploy specialized CrewAI agent teams to research, query, and analyze Barcelona's public datasets autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Ayuntamiento de Barcelona (CKAN) MCP to CrewAI
Create your Vinkius account to connect Ayuntamiento de Barcelona (CKAN) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Multi-agent research teams for Barcelona data
The `bcn_package_search` tool allows your research agent to scan the Open Data BCN catalog for specific urban datasets. Instead of a single agent doing everything, CrewAI lets you assign this search task to a dedicated researcher. Once the researcher finds the dataset, it passes the metadata to an analyst agent. This analyst uses `bcn_datastore_search` to extract specific CSV records, collaborating through CrewAI's shared memory to build a detailed report.
Autonomous SQL analysis with CrewAI agents
The `bcn_datastore_search_sql` tool executes raw SQL queries on Barcelona's public tables, which your analyst agent can run autonomously. The agent writes its own queries, wraps the resource ID in double quotes, and processes the returned rows. A moderator agent can monitor this session. If the analyst agent encounters an SQL syntax error, the moderator catches it, logs the issue, and instructs the analyst to rewrite the query using `bcn_resource_show` metadata.
Hierarchical catalog monitoring on Vinkius
The `bcn_package_list` tool fetches the entire active dataset catalog from the Barcelona portal, initiating your CrewAI workflow. A manager agent coordinates the process, assigning sub-tasks to worker agents based on the returned list. Worker agents then use `bcn_package_show` to inspect modified datasets. This hierarchical execution ensures your team of agents handles large-scale municipal data audits without overlapping tasks or wasting API calls.
Set up Ayuntamiento de Barcelona (CKAN) MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Ayuntamiento de Barcelona (CKAN) tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Ayuntamiento de Barcelona (CKAN) Analyst",
goal="Access and analyze Ayuntamiento de Barcelona (CKAN) data via MCP.",
backstory="Expert analyst with direct Ayuntamiento de Barcelona (CKAN) access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Ayuntamiento de Barcelona (CKAN) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Ayuntamiento de Barcelona (CKAN) Analyst",
goal="Access and analyze Ayuntamiento de Barcelona (CKAN) data via MCP.",
backstory="Expert analyst with direct Ayuntamiento de Barcelona (CKAN) access.",
tools=mcp_tools,
)
task = Task(
description="List recent Ayuntamiento de Barcelona (CKAN) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Open Data BCN. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Ayuntamiento de Barcelona (CKAN) MCP in CrewAI
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